Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Using grid techniques for drug target identification.

Zhengran Jiang1, Feng Lu, Ji Zhang

  • 1Hubei Bioinformatics and Molecular Imaging Key Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, People's Republic of China. jiangzhenran@163.com

Journal of Drug Targeting
|November 9, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Aqueous synthesis of PEGylated Ag<sub>2</sub>S quantum dots and their in vivo tumor targeting behavior.

Biochemical and biophysical research communications·2020
Same author

Plasmonic Modulation of the Upconversion Luminescence Based on Gold Nanorods for Designing a New Strategy of Sensing MicroRNAs.

Analytical chemistry·2020
Same author

Vitamin D deficiency and metabolic syndrome in elderly Chinese individuals: evidence from CLHLS.

Nutrition & metabolism·2020
Same author

Author Correction: Genome-wide identification of and functional insights into the late embryogenesis abundant (LEA) gene family in bread wheat (Triticum aestivum).

Scientific reports·2020
Same author

Confirmation of the absence of local transmission and geographic assignment of imported falciparum malaria cases to China using microsatellite panel.

Malaria journal·2020
Same author

circMET promotes NSCLC cell proliferation, metastasis, and immune evasion by regulating the miR-145-5p/CXCL3 axis.

Aging·2020
Same journal

Tubulin as a Well-Established Yet Underexploited Target: New Opportunities for Drugs Repurposing?

Journal of drug targeting·2026
Same journal

Physcion-loaded, folic acid-conjugated DSPE-PEG liposomes for targeted therapy of ulcerative colitis.

Journal of drug targeting·2026
Same journal

Enzyme-responsive 2-dimensional nanomaterials for targeted breast cancer treatment.

Journal of drug targeting·2026
Same journal

Integrating antibody-drug conjugates, multispecific antibodies, targeted protein degradation and nanomedicine in precision oncology.

Journal of drug targeting·2026
Same journal

Nanomaterials for subcellular organelle targeting: unlocking new avenues for enhanced therapeutic effectiveness.

Journal of drug targeting·2026
Same journal

Eletriptan HBr-loaded solid lipid nanoparticle-integrated microneedles: a targeted and minimally invasive approach for migraine management.

Journal of drug targeting·2026
See all related articles

The human genome sequence enables new drug target discovery. Grid computing offers a scalable solution for the large-scale data and computational needs of modern pharmaceutical research and development.

Area of Science:

  • Genomics and Bioinformatics
  • Computational Drug Discovery
  • Distributed Computing

Background:

  • The human genome project provides a foundation for identifying novel drug targets.
  • Challenges in drug discovery include managing vast datasets and requiring significant computational power.
  • Collaborative research environments are essential for addressing complex pharmaceutical R&D problems.

Purpose of the Study:

  • To review the current applications of Grid technology in identifying drug target proteins.
  • To propose an architectural overview for drug target discovery systems.
  • To focus on the data manager service system architecture within drug target discovery.

Main Methods:

  • Review of existing literature on Grid technology applications in drug discovery.

Related Experiment Videos

  • Analysis of architectural frameworks for distributed drug target identification.
  • Conceptualization of a data manager service system architecture.

    • Main Results:

    • Grid techniques provide a secure, reliable, and scalable framework for accessing heterogeneous resources.
    • Grid computing addresses the large-scale computational demands of modern pharmaceutical R&D.
    • The proposed system architecture facilitates efficient drug target discovery.

    Conclusions:

    • Grid technology is a promising strategy for overcoming computational challenges in drug discovery.
    • Implementing robust data management is crucial for effective drug target identification systems.
    • The integration of Grid computing enhances collaborative drug discovery efforts.